Full-Stack SaaS Analytics Dashboard with Next.js, Node.js, and Supabase This is a full-stack SaaS-style analytics dashboard built with React/Next.js on the frontend, Node.js on the backend, and Supabase for database management and backend services. The application includes a modern responsive interface, sidebar navigation, KPI cards, revenue analytics, sales performance views, marketing insights, charts, tables, and business reporting sections.

Tech Stack: React, Next.js, Node.js, Supabase, JavaScript/TypeScript, REST API, responsive UI components, database-driven dashboard architecture, and full-stack web application development. The frontend was developed with a reusable component-based structure to keep the interface clean, scalable, and easy to maintain. The backend uses Node.js to handle API logic, server-side operations, and communication between the application and database. Supabase is used for structured data storage, authentication-ready architecture, and scalable database operations.

Overall, this project demonstrates my experience in building complete full-stack web applications, including frontend UI development, backend API integration, database management, analytics dashboard design, and scalable SaaS application architecture.

🚀 Built an Automated Power BI Dashboard with Real-Time File Refresh Workflow

Recently, I worked on a complete Power BI automation project where I transformed messy raw CSV data into a fully interactive business dashboard.

This project included:

✅ Data Cleaning with Power Query ✅ Handling messy and mixed date formats ✅ Data transformation & automation ✅ KPI Dashboard Creation ✅ Sales & Revenue Analysis ✅ Dynamic Visualizations ✅ Folder-Based Automated Refresh System ✅ Bangladesh Regional Map Integration

The most exciting part of this project was the automation workflow.

Instead of manually rebuilding reports every time new data arrives, I configured Power BI to automatically detect updated files from a folder source. Once new CSV files are added, the dashboard can refresh and update business insights instantly.

During the project, I also solved several real-world data problems like:

inconsistent date formats

null values

mixed discount scales

data type issues

automation refresh errors

This project helped me strengthen my skills in: 📊 Power BI 📈 Data Visualization 🧹 Data Cleaning ⚡ Automation Workflow 📂 Power Query 🐍 Data Analytics

As a Data Analyst, I enjoy building dashboards that are not only visually appealing but also practical for real business decision-making.

If you need help with:

Power BI Dashboards

Data Cleaning

Automated Reporting

Business Insights

Excel & CSV Data Processing

feel free to connect with me or knock me anytime.

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